NDLI: Tempo variation based multilayer filters for query by humming

Content Provider	IEEE Xplore Digital Library
Author	Qiang Wang Zhiyuan Guo Baoxiang Li Gang Liu Jun Guo
Copyright Year	2012
Description	Author affiliation: Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications (Qiang Wang; Zhiyuan Guo; Baoxiang Li; Gang Liu; Jun Guo)
Abstract	In this paper we propose a methodology of multilayer filters based on tempo variation for realizing a query by humming (QBH) system. Firstly the original query clip is used to search for the candidate songs. If the results are unreliable, the clip is linearly scaled twice for more candidates. If the results are still unreliable, the clip is scaled more times for retrieval. To sort all the candidates, a new matching algorithm called key transposition recursive alignment (KTRA) is presented, which improves the retrieval accuracy. Experimental results on the 2010 MIREX QBH query corpus show that the proposed method can achieve a relative improvement of 20.9% as well as an acceleration factor of 2.09 simultaneously compared to a state-of-the-art method.
Starting Page	3034
Ending Page	3037
File Size	227366
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Filtering algorithms Nonhomogeneous media Indexes Accuracy Matched filters Acceleration
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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